zybo zynq

before the flow, and image processing seems to need FPGA, but in my contact with a few companies (size is not small), they do the image, but even do not have their own FPGA engineers, that they do not use FPGA to do the work of the image algorithm class, At best, the preprocessing of high-speed data stream acquisition or forwarding is only. So, in fact, FPGA can do a lot of things, but the FPGA is not doing much at the moment, in addition, with FPGA, but do not rigidly adhere to the FPGA. This

This time with Zynq's embedded XADC to collect some parameters inside the ZYNQ:vccint: Internal PL Core Voltagevccaux: Auxiliary PL voltageVREFP:XADC Positive Reference voltageVREFN:XADC Negative Reference voltageVCCBRAM:PL Bram VoltageVccpint:ps Internal Core voltageVccpaux:ps Auxiliary VoltageOperating voltage of VCCDDR:DDR RAMThis process and the development process of the previous indistinguishable, I hope you can fully familiar with the process ~ ~As always, create a block Design and add th

of FPGA Devices with embedded hard core CPUs. FPGA + CPU solution is not uncommon. It was proposed and put into practice five years ago. Xilinx and Altera have been committed to promoting their own soft-core CPU, however, the market response apparently failed to meet expectations. Xilinx was the first to integrate arm in last April to meet market requirements.Cortex-A9 CPU and 28nm FPGA scalable processing platform (Extensible processingplatform) architecture. Less than a year later, the

compatible with the popular Arduino, such as Arduino shield and open-source projects. For more information about this device, click here to learn more. 4. snowleo (embedded in the open-source FPGA platform of arm A9) The snowleo platform uses Xilinx's latest Zynq-7000 series XC7Z010-1CLG400C core chip, which adopts 28nm process, with high performance, low power consumption and other characteristics. Its main feature is to integrate the dual-core ar

Xapp1078 was created in February 2013. This article describes the way to start running two cores, with two CPU cores running Linux and Bare-metal, respectively. It's been the past four years, so call it a traditional amp solution.Key processes for this scenario:(1) Modify the FSBL source code so that it can load multiple elf and bit files until it encounters the flag load address to stop load and return to run U-boot.(2) through the configuration file image.bif core0 u-boot.elf and core1 bare-me

In the previous blog post, the xapp1078 was studied, and its target platform was zc702. This article analyzes the key points that need to be modified when zc706 implements AMP. Reference: Http://www.wiki.xilinx.com/XAPP1078+Latest+InformationThe V2 version is used in the bootrom in 1,zc706. This version uses a different WFE loop,cpu1 is awakened (interrupt, SEv, or other event), the data that reads the 0XFFFFFFF0 location is compared to 0XFFFFFF2C, and if the same as 0XFFFFFF2C, it returns to th

Shell Branch Statement Case inch mode 1) Command1 command2 command3 ; Mode 2) Command1 command2 command3 ;; *) Command1 command2 command3 ;; EsacDescription: After the case is taken, the value is the keyword in, followed by the various patterns of the match, each pattern must end with a closing parenthesis.The value can be a variable or constant.; Like a C-language break, do not cancel!Example:#!/bin/SH#auther: linuxdaxue.com#Date: .- to- - Case$1 inchStart|be

Based on their own ZYNQ board, in the above run Petalinux, has been stabilized, after detailed records.Now features: Qspi boot U-boot and KERNEL,VDMA, TPG, OSD, VTC and other IP modules under Linux drive,Next: Initialize disk space on eMMC, kernel on eMMC, OpenCV porting, display cache output implementation, QT portingFinal goal: Dual-core processor one core running Linux, a nuclear bare run or run Ucos, the second core program by Linux to download an

core into the processor. In addition, Intel, in April 2007, made it clear that it was developing vector processor Larrabee (development code), which integrates many CPU cores dedicated to floating-point operations.Another development direction is to use the GPU to excel in parallel processing of floating-point operations as a vector processor. This is the GPGPU (General Purpose Computing on GPU) for universal computing, and Nvidia has been rolling out hardware products and software development

1, the establishment of Vivado project;2. Generate. hdf files;3. Start PetalinuxSOURCE Petalinux Installation Path/settings.sh4. Establish Petalinux ProjectPetalinux-create--type Project--template zynq--name test5. Enter the Petalinux project folder to obtain HDF information (bit, DDR, MIO, PLL)Petalinux-config--GET-HW-DESCRIPTION=.HDF File path/6, establish modulesPETALINUX-CREATE-T Modules--name Blink--enable7, enter the path to modify the correspon

to say.5. Enter into the OpenCV directory such as: CD ~/open[tab]Then enter the following command (for PC)mkdir-D cmake_build_type=release-d cmake_install_prefix=/usr/local.If it is Zedboard, please follow the command belowmkdir-D cmake_build_type=release-d-D build_opencv_gpu=off-d with_cuda=off-d With_1394=off CMAKE_ Install_prefix=/usr/local.The command above basically turns off everything that is related to the GPU, because Zynq doesn't have a GPU

Recent projects in this area, first write a summary of itMaterials to be prepared:1. System_wrapper.bit generated by the Vivado project.2. Build the fsbl.elf in Zynq FSBL in the SDK.3. Compile Linux uboot generate Uboot file (renamed to Uboot.elf file).These three files (order: febl.elf,system_wrapper.bit,uboot.elf) can be used to generate a Boot.bin fileThen compile the Linux kernel to generate Uimage, as well as ZYNQ_ZED.DTB. Finally renamed the ZYN

Tags: des style blog http color using file IOI did a few experiments in front of the switch, this time with aDiscover Vivado is really handy so use Vivado to develop1. Construction worksI use Vivado 2013.4Create a new project – "next–" nextTick specify sources at this time//to skip the next two Add file pagesChoose board– "zedboard–" next– "Finshwas created.2.PL End IP Core Add and connectCreate an empty DiagramCreate Block Design-"Dot ok"Next add IP Core can click Prompt add IP can also clickSe

See: http://blog.csdn.net/xiabodan/article/details/23379645Kernel image address: git clone http://github.com/Digilent/linux-3.3.digilent.gitUboot Source: Git clone git://git.xiinx.com/u-boot-xarm.git click Open Link click Open Link click Open linkThe device tree can be found in the kernel, the device tree, the kernel image, BOOT. Bin is copied to the FAT partition in the SD cardFile system: http://releases.linaro.org/images/12.04 copied directly to SD card in EXT4 partitionLINUX VDMA Driver App

writing is complete, only the interrupts are run directlyPython pi_temp.pyThis step is complete after the debug is correct4 Add script file auto_start.sh #!/bin/bash cd/home/pi/python-works/yeelink-temp python yeelink-temp.py Reference:Raspberry Pi Learning notes--timed to Yeelink upload Raspberry Pi CPU temperature: http://blog.csdn.net/xukai871105/article/details/38349519Installation and simple application of Python requests: http://www.zhidaow.com/post/python-requests-install-and-brief-intro

process of forwarding packets to network A. So, only set up the IP address of the gateway, the TCP/IP protocol can realize the mutual communication between different networks. So which IP address is the IP address of the machine? The IP address of the gateway is the IP address of the device with routing capabilities, a router with routing capabilities, a server with a routing protocol enabled (essentially a router), and a proxy server (also equivalent to a router).ISE14.7 Build lwIPfirst we nee